This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (eHealth) (541) Chatbots and Conversational Agents (531) Generative Language Models Including ChatGPT (311) Health Informatics Education and Training (53) Artificial Intelligence (1377)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51873, first published .
Usability and Efficacy of Artificial Intelligence Chatbots (ChatGPT) for Health Sciences Students: Protocol for a Crossover Randomized Controlled Trial

Usability and Efficacy of Artificial Intelligence Chatbots (ChatGPT) for Health Sciences Students: Protocol for a Crossover Randomized Controlled Trial

Usability and Efficacy of Artificial Intelligence Chatbots (ChatGPT) for Health Sciences Students: Protocol for a Crossover Randomized Controlled Trial

Authors of this article:

Mirella Veras1, 2 Author Orcid Image ;   Joseph-Omer Dyer3, 4 Author Orcid Image ;   Morgan Rooney5 Author Orcid Image ;   Paulo Goberlânio Barros Silva6 Author Orcid Image ;   Derek Rutherford7 Author Orcid Image ;   Dahlia Kairy2, 3, 8 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

Journals

  1. Veras M, Dyer J, Kairy D. Artificial Intelligence and Digital Divide in Physiotherapy Education. Cureus 2024 View
  2. Lee Y, Kim S. Potential applications of ChatGPT in obstetrics and gynecology in Korea: a review article. Obstetrics & Gynecology Science 2024;67(2):153 View
  3. Li J, Zong H, Wu E, Wu R, Peng Z, Zhao J, Yang L, Xie H, Shen B. Exploring the potential of artificial intelligence to enhance the writing of english academic papers by non-native english-speaking medical students - the educational application of ChatGPT. BMC Medical Education 2024;24(1) View
  4. Gumilar K, Indraprasta B, Hsu Y, Yu Z, Chen H, Irawan B, Tambunan Z, Wibowo B, Nugroho H, Tjokroprawiro B, Dachlan E, Mulawardhana P, Rahestyningtyas E, Pramuditya H, Putra V, Waluyo S, Tan N, Folarin R, Ibrahim I, Lin C, Hung T, Lu T, Chen Y, Shih Y, Wang S, Huang J, Yates C, Lu C, Liao L, Tan M. Disparities in medical recommendations from AI-based chatbots across different countries/regions. Scientific Reports 2024;14(1) View
  5. Tiwari C, Bhat M, Dula Wedajo A, Khan S. Unveiling the bright side and dark side of AI-based ChatGPT : a bibliographic and thematic approach. Journal of Decision Systems 2024:1 View
  6. Yin J, Zhu Y, Goh T, Wu W, Hu Y. Using Educational Chatbots with Metacognitive Feedback to Improve Science Learning. Applied Sciences 2024;14(20):9345 View
  7. Sallam M, Elsayed W, Al-Shorbagy M, Barakat M, El Khatib S, Ghach W, Alwan N, Hallit S, Malaeb D. ChatGPT usage and attitudes are driven by perceptions of usefulness, ease of use, risks, and psycho-social impact: a study among university students in the UAE. Frontiers in Education 2024;9 View
  8. Gumilar K, Indraprasta B, Faridzi A, Wibowo B, Herlambang A, Rahestyningtyas E, Irawan B, Tambunan Z, Bustomi A, Brahmantara B, Yu Z, Hsu Y, Pramuditya H, Putra V, Nugroho H, Mulawardhana P, Tjokroprawiro B, Hedianto T, Ibrahim I, Huang J, Li D, Lu C, Yang J, Liao L, Tan M. Assessment of Large Language Models (LLMs) in decision-making support for gynecologic oncology. Computational and Structural Biotechnology Journal 2024;23:4019 View

Books/Policy Documents

  1. Dube S, Dube S, Ndlovu B, Maguraushe K, Malungana L, Kiwa F, Muduva M. Intelligent Computing. View